ETLPythonServiceNowSQLTableauRMachine LearningNatural Language ProcessingAnalyticsBIPower BIPerformance OptimizationCollaboration
About this role
Role Overview
Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing graphs and charts to display what is improving and what is getting worse, and leveraging Natural Language Processing / Machine Learning capabilities to advance modeling, coding and development for the data analytics and insights workstream
Present to managers how to best alter their business models to generate profitable future trends
In-depth knowledge of VHA Systems and files, to include, but not limited to: Corporate Data Warehouse (CDW); Veterans Health Information Systems and Technology Architecture (VistA); VHA Support Service Center (VSSC); VHA Reports and Measurement Portal (RAMP); Patient Treatment File (PTF) (MedSAS); Managerial Cost Accounting (MCA) System; Primary Care Management Module (PCMM); The National Patient Care Database (NPCD); Veterans Services Network Corporate Mini Master File (VETSNET File); etc.
Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform root ‑ cause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners
Define and operationalize enterprise data ‑ quality rules, thresholds, and KPI scorecards; codify repeatable QC playbooks and automate checks in Power Automate/SQL/Python; publish results in Purview and related governance tools
Lead Tier 0 → Tier 1 data stewardship and maintain end ‑ to ‑ end lineage/metadata in Purview/Collibra, ensuring accessibility, traceability, and VA/VHA compliance
Certify Tableau/Power BI dashboards and reports against integrity and accessibility standards; coordinate remediation with analytics teams
Embed data ‑ quality gates and validation points in SAFe PI planning, sprint planning, and demos to ensure production ‑ ready data
Requirements
10+ years of relevant professional experience in data analysis, data governance, and enterprise reporting (federal healthcare or equivalent large-scale environment preferred)
Masters degree
Demonstrated experience supporting large, complex federal agencies; prior VA or DoD experience highly desirable
Advanced expertise in SQL (query optimization, ETL processes), R (statistical modeling, predictive analytics), Python (data wrangling, automation), Tableau and Power BI (dashboard development, performance optimization)
Proven experience with data governance tools (e.g., Microsoft Purview, Collibra) and enterprise systems (e.g., ServiceNow, Power Apps)
Ability to engage with and present to Executive-level stakeholders, synthesizing complex data into actionable insights
Strong background in data quality management and advanced analytics to support organizational decision-making
Ability to lead workstreams, mentor junior analysts, and manage cross-functional collaboration
Advanced proficiency with Microsoft Office applications (Excel, Word, PowerPoint) including automation and advanced analytics integration
Public Trust clearance eligibility and U.S. work authorization required